Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing. - Xunguang Wang; Zheng Zhang 006; Baoyuan Wu; Fumin Shen; Guangming Lu (CVPR, 2021)

Targeted Attack and Defense for Deep Hashing. - Xunguang Wang; Zheng Zhang 006; Guangming Lu; Yong Xu 001 (SIGIR, 2021)

Targeted Attack of Deep Hashing Via Prototype-Supervised Adversarial Networks. - Zheng Zhang 006; Xunguang Wang; Guangming Lu; Fumin Shen; Lei Zhu 002 (IEEE Trans. Multim., 2022)

CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval. - Xunguang Wang; Yiqun Lin; Xiaomeng Li 001 (WWW, 2023)

Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval. - Xunguang Wang; Jiawang Bai; Xinyue Xu; Xiaomeng Li (CoRR, 2023)

InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models. - Xunguang Wang; Zhenlan Ji; Pingchuan Ma 004; Zongjie Li; Shuai Wang 011 (CoRR, 2023)

Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval. - Xu Yuan 007; Zheng Zhang 006; Xunguang Wang; Lin Wu 001 (IEEE Trans. Inf. Forensics Secur., 2023)

SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner. - Xunguang Wang; Daoyuan Wu; Zhenlan Ji; Zongjie Li; Pingchuan Ma 004; Shuai Wang 011; Yingjiu Li; Yang Liu 003; Ning Liu; Juergen Rahmel (CoRR, 2024)

GuidedBench: Equipping Jailbreak Evaluation with Guidelines. - Ruixuan Huang; Xunguang Wang; Zongjie Li; Daoyuan Wu; Shuai Wang 011 (CoRR, 2025)

STShield: Single-Token Sentinel for Real-Time Jailbreak Detection in Large Language Models. - Xunguang Wang; Wenxuan Wang 001; Zhenlan Ji; Zongjie Li; Pingchuan Ma 004; Daoyuan Wu; Shuai Wang 011 (CoRR, 2025)

SoK: Evaluating Jailbreak Guardrails for Large Language Models. - Xunguang Wang; Zhenlan Ji; Wenxuan Wang 001; Zongjie Li; Daoyuan Wu; Shuai Wang 011 (CoRR, 2025)